Integrative spatial analysis reveals a multi-layered organization of glioblastoma
Glioma contains malignant cells in diverse states. Here, we combine spatial transcriptomics with novel computational approaches to uncover the organization of glioma cellular states. We find three prominent modes of organization. First, cells in any given state tend to be spatially clustered, with local environments that are each enriched with one major cellular state. Second, specific pairs of states preferentially reside in proximity across multiple scales. Third, the pairwise interactions that we detect collectively define a global architecture composed of five layers. Hypoxia appears to drive this 5-layered organization, as it is associated with a long-range organization that extends from the hypoxic core to the infiltrative edge of the tumor. Accordingly, tumor regions distant from any hypoxic foci are less organized. In summary, we provide a conceptual framework for the organization of gliomas and highlight the role of hypoxia as a potential long-range tissue organizer.
from sddb import Catalog
cohort = Catalog().collection("geo-gse237183")
cohort.members # the 19 datasets as a table
print(cohort.licenses()) # check the terms before you download
sdatas = cohort.to_dict() # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/") Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse237183")
coll.ordered_artifacts.to_dataframe() # the 19 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse237183 --dest data/ Licenses: 19 NCBI GEO policy
Cite this collection
doi.org/10.1016/j.cell.2024.03.029 ↗@article{Greenwald_2024,
title = {Integrative spatial analysis reveals a multi-layered organization of glioblastoma},
volume = {187},
ISSN = {0092-8674},
url = {http://dx.doi.org/10.1016/j.cell.2024.03.029},
DOI = {10.1016/j.cell.2024.03.029},
number = {10},
journal = {Cell},
publisher = {Elsevier BV},
author = {Greenwald, Alissa C. and Darnell, Noam Galili and Hoefflin, Rouven and Simkin, Dor and Mount, Christopher W. and Gonzalez Castro, L. Nicolas and Harnik, Yotam and Dumont, Sydney and Hirsch, Dana and Nomura, Masashi and Talpir, Tom and Kedmi, Merav and Goliand, Inna and Medici, Gioele and Laffy, Julie and Li, Baoguo and Mangena, Vamsi and Keren-Shaul, Hadas and Weller, Michael and Addadi, Yoseph and Neidert, Marian C. and Suvà, Mario L. and Tirosh, Itay},
year = {2024},
month = May,
pages = {2485–2501.e26}
}